Di ZhangPh.D.
| Job | Assistant Professor, WPI-AIMR |
|---|---|
| Group | Mathematical Science Group |
| Laboratory | Li Laboratory |
| Address | Room 4A, AIMR Main Building, Katahira Campus (2-1-1, Katahira, Aoba-ku, Sendai 980-8577) |
| Tel | +81-22-217-6371 |
| di.zhang.a8@tohoku.ac.jp | |
| Related Site |
Research Interests
- Development of materials theory for the design of catalysts and electrode materials
- New computational methodology development based upon artificial intelligence
Related Information
- September 4, 2026 Press Releases Empowering polymeric materials discovery with Artificial Intelligence
- August 25, 2026 Press Releases Physics-aware AI could accelerate hydrogen storage materials discovery
- July 23, 2026 Press Releases AI-Powered Closed-Loop System Could Accelerate the Discovery of Energy Materials
- July 8, 2026 Press Releases Large Language Model Guides Discovery of Catalysts for Clean Energy Tech
- June 30, 2026 Press Releases AI-Powered Platform Lays the Foundation for a New Era of Catalyst Discovery
- June 11, 2026 Press Releases AI and Physics Draw a Blueprint for Better Hydrogen Storage Materials
- June 4, 2026 Press Releases DigMethpy: An AI-Driven Platform for Accelerating Methane Pyrolysis Catalyst Discovery
- April 15, 2026 Press Releases Lowering the Entry Base for Materials Science Through a Friendly, Reliable AI Database
- April 9, 2026 Press Releases Reliable Material Databases Bridge AI- and Experimental-Led Material Discovery
- March 26, 2026 Press Releases AI Agent Accelerates Catalyst Discovery For Sustainable Fuel Development
- March 13, 2026 Press Releases Comprehensive Digital Materials Ecosystem Streamlines Material Design
- March 5, 2026 Press Releases Accelerating Catalyst Materials Discovery with Large Artificial Intelligence Models
- February 26, 2026 Press Releases Atomic Precision Unlocks Smarter Oxygen Reduction Catalysts
- February 19, 2026 Press Releases Holistically Improving the Process of Producing Hydrogen from Water
- February 4, 2026 Press Releases “DIVE” into Hydrogen Storage Materials Discovery with AI Agents
- January 29, 2026 Press Releases How Topological Surfaces Boost Clean Energy Catalysts
- December 24, 2025 Press Releases An AI-Based Blueprint for Designing Catalysts Across Materials
- November 19, 2025 Press Releases Using Theory and Data to Create New Single Atom Catalysts for Cleaner Chlorine Production
- November 17, 2025 Press Releases Interpretable Machine Intelligence for Materials Design of Metal Hydrides
- October 22, 2025 Press Releases Decoding How pH Controls the Chemistry of Clean Energy
- September 9, 2025 Press Releases Creating a Top-Tier, High-Density W Single Atom Catalyst
- September 1, 2025 Press Releases Layered Cobalt Catalyst Reimagines Pigment as a Pathway for Carbon Dioxide Recycling
- July 22, 2025 Press Releases New Study Clarifies Catalyst Design for Cleaner Ammonia Production
- July 14, 2025 Press Releases New Insights into Pd and Pt Catalyst Surface Reconstruction and Reaction Selectivity
- July 4, 2025 Press Releases Machine Learning Potential-Driven Insights into pH-Dependent CO2 Reduction
- July 2, 2025 Press Releases Data-Driven Strategies to Advance Methane Pyrolysis Catalysts
- June 5, 2025 Press Releases A Fresh New Way to Produce Freshwater: Sonicated Carbon Nanotube Catalysts
- June 2, 2025 Press Releases New Hydrogenation Reaction Mechanism for Superhydride Revealed by Machine Learning
- May 21, 2025 Press Releases Data-Driven Approach Identifies Promising CO2 Conversion Catalysts
- May 15, 2025 Press Releases New Dual-Atom Catalyst Boosts Performance of Zinc-Air Batteries for Real-World Applications
- May 8, 2025 Press Releases Advancing Electrocatalyst Discovery Through the Lens of Data Science
- April 30, 2025 Press Releases How Can We Optimize Solid-State Batteries? Try Asking AI
- April 28, 2025 Research Highlights Carbon nanomaterials: Machine learning unveils carbon growth mechanism
- April 23, 2025 Press Releases New Porous Crystal Catalyst Offers Durable, Efficient Solution for Clean Hydrogen Production
- April 17, 2025 Press Releases A New Take on the Abilities of Hydrogen Binding Energy for Use in Single Atom Catalysts
- April 8, 2025 Press Releases Turning Pollution into Fuel with Record-Breaking CO2-to-CO Conversion Rates
- February 26, 2025 Press Releases Researchers Uncover Key Insights into CO2 Reduction Using SnO-Based Electrocatalysts
- February 19, 2025 Press Releases A Breakthrough in Hydrogen Catalysis: Electronic Fine-Tuning Unlocks Superior Performance
- February 18, 2025 Press Releases Why Weak-Binding M–N–C Catalysts Defy Expectations in Oxygen Reduction Reactions
- February 17, 2025 Press Releases Using a Data-Driven Approach to Synthesize Single-Atom Catalysts That Can Purify Water
- January 15, 2025 Press Releases Researchers Unlock New Insights into Tin-Based Catalysts for Electrochemical CO2 Reduction
- November 15, 2024 Press Releases Novel Magnetic Field Integration Enhances Green Hydrogen Peroxide Production
- November 13, 2024 Press Releases New Platinum-Nickel Core-Shell Catalyst Shows Stability for Oxygen Reduction Reactions
- September 11, 2024 Press Releases Chromium Doping Enhances Catalyst Performance for Faster Oxygen Evolution
- August 28, 2024 Press Releases Rare Earth Single Atoms Enhance Manganese Oxide’s Electrochemical Oxygen Evolution
- May 15, 2024 Press Releases Researchers Unlock Vital Insights into Metal–Nitrogen–Carbon Catalysts’ Reaction Mechanism
- March 28, 2024 Press Releases Benchmarking Theory with Experiments for Oxygen Reduction Catalysts
- February 21, 2024 Press Releases Unraveling the pH-Dependent Oxygen Reduction Performance on Single-Atom Catalysts
- February 1, 2024 Press Releases Machine Learning Guides Carbon Nanotechnology
- September 21, 2023 Press Releases Researchers Reveal the Origins of Zirconium Nitride’s Superior Performance